29 citations · 39 across the 4 of their papers we have counts for
4 papers
Enhancing cardiovascular risk prediction through AI-enabled calcium-omics
Ammar Hoori, Sadeer Al-Kindi, Tao Hu +8
Background. Coronary artery calcium (CAC) is a powerful predictor of major adverse cardiovascular events (MACE). Traditional Agatston score simply sums the calcium, albeit in a non…
Pupil-driven quantitative differential phase contrast imaging
Shuhe Zhang, Hao Wu, Tao Peng +4
In this research, we reveal the inborn but hitherto ignored properties of quantitative differential phase contrast (qDPC) imaging: the phase transfer function being an edge detecti…
Cardiac CT perfusion imaging of pericoronary adipose tissue (PCAT) highlights potential confounds in coronary CTA
Hao Wu, Yingnan Song, Ammar Hoori +10
Features of pericoronary adipose tissue (PCAT) assessed from coronary computed tomography angiography (CCTA) are associated with inflammation and cardiovascular risk. As PCAT is va…
Improved accuracy and reproducibility of coronary artery cal-cification features using deconvolution
Yingnan Song, Ammar Hoori, Hao Wu +7
Our long-range goal is to improve current whole-heart CT calcium score by extracting quantitative features from individual calcifications. We performed deconvolution to improve sma…